An Introduction To Secondary Data Analysis With Ibm Spss Statistics

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An Introduction To Secondary Data Analysis With Ibm Spss Statistics
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Author : John MacInnes
language : en
Publisher: SAGE
Release Date : 2016-12-05
An Introduction To Secondary Data Analysis With Ibm Spss Statistics written by John MacInnes and has been published by SAGE this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-12-05 with Social Science categories.
Many professional, high-quality surveys collect data on people′s behaviour, experiences, lifestyles and attitudes. The data they produce is more accessible than ever before. This book provides students with a comprehensive introduction to using this data, as well as transactional data and big data sources, in their own research projects. Here you will find all you need to know about locating, accessing, preparing and analysing secondary data, along with step-by-step instructions for using IBM SPSS Statistics. You will learn how to: Create a robust research question and design that suits secondary analysis Locate, access and explore data online Understand data documentation Check and ′clean′ secondary data Manage and analyse your data to produce meaningful results Replicate analyses of data in published articles and books Using case studies and video animations to illustrate each step of your research, this book provides you with the quantitative analysis skills you′ll need to pass your course, complete your research project and compete in the job market. Exercises throughout the book and on the book′s companion website give you an opportunity to practice, check your understanding and work hands on with real data as you′re learning.
An Introduction To Secondary Data Analysis With Ibm Spss Statistics
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Author : John MacInnes
language : en
Publisher: SAGE
Release Date : 2016-12-05
An Introduction To Secondary Data Analysis With Ibm Spss Statistics written by John MacInnes and has been published by SAGE this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-12-05 with Social Science categories.
Many professional, high-quality surveys collect data on people′s behaviour, experiences, lifestyles and attitudes. The data they produce is more accessible than ever before. This book provides students with a comprehensive introduction to using this data, as well as transactional data and big data sources, in their own research projects. Here you will find all you need to know about locating, accessing, preparing and analysing secondary data, along with step-by-step instructions for using IBM SPSS Statistics. You will learn how to: Create a robust research question and design that suits secondary analysis Locate, access and explore data online Understand data documentation Check and ′clean′ secondary data Manage and analyse your data to produce meaningful results Replicate analyses of data in published articles and books Using case studies and video animations to illustrate each step of your research, this book provides you with the quantitative analysis skills you′ll need to pass your course, complete your research project and compete in the job market. Exercises throughout the book and on the book′s companion website give you an opportunity to practice, check your understanding and work hands on with real data as you′re learning.
Introduction To Structural Equation Modeling Using Ibm Spss Statistics And Amos
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Author : Niels Blunch
language : en
Publisher: SAGE
Release Date : 2012-11-09
Introduction To Structural Equation Modeling Using Ibm Spss Statistics And Amos written by Niels Blunch and has been published by SAGE this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-11-09 with Reference categories.
This comprehensive Second Edition offers readers a complete guide to carrying out research projects involving structural equation modeling (SEM). Updated to include extensive analysis of AMOS′ graphical interface, a new chapter on latent curve models and detailed explanations of the structural equation modeling process, this second edition is the ideal guide for those new to the field. The book includes: Learning objectives, key concepts and questions for further discussion in each chapter. Helpful diagrams and screenshots to expand on concepts covered in the texts. Real life examples from a variety of disciplines to show how SEM is applied in real research contexts. Exercises for each chapter on an accompanying companion website. A new glossary. Assuming no previous experience of the subject, and a minimum of mathematical knowledge, this is the ideal guide for those new to SEM and an invaluable companion for students taking introductory SEM courses in any discipline. Niels J. Blunch was formerly in the Department of Marketing and Statistics at the University of Aarhus, Denmark
Interpreting Quantitative Data With Spss
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Author : Rachad Antonius
language : en
Publisher: SAGE
Release Date : 2003-01-22
Interpreting Quantitative Data With Spss written by Rachad Antonius and has been published by SAGE this book supported file pdf, txt, epub, kindle and other format this book has been release on 2003-01-22 with Social Science categories.
This is a textbook for introductory courses in quantitative research methods across the social sciences. It offers a detailed explanation of introductory statistical techniques and presents an overview of the contexts in which they should be applied.
Quantitative Analysis And Ibm Spss Statistics
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Author : Abdulkader Aljandali
language : en
Publisher: Springer
Release Date : 2016-11-08
Quantitative Analysis And Ibm Spss Statistics written by Abdulkader Aljandali and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-11-08 with Business & Economics categories.
This guide is for practicing statisticians and data scientists who use IBM SPSS for statistical analysis of big data in business and finance. This is the first of a two-part guide to SPSS for Windows, introducing data entry into SPSS, along with elementary statistical and graphical methods for summarizing and presenting data. Part I also covers the rudiments of hypothesis testing and business forecasting while Part II will present multivariate statistical methods, more advanced forecasting methods, and multivariate methods. IBM SPSS Statistics offers a powerful set of statistical and information analysis systems that run on a wide variety of personal computers. The software is built around routines that have been developed, tested, and widely used for more than 20 years. As such, IBM SPSS Statistics is extensively used in industry, commerce, banking, local and national governments, and education. Just a small subset of users of the package include the major clearing banks, the BBC, British Gas, British Airways, British Telecom, the Consumer Association, Eurotunnel, GSK, TfL, the NHS, Shell, Unilever, and W.H.S. Although the emphasis in this guide is on applications of IBM SPSS Statistics, there is a need for users to be aware of the statistical assumptions and rationales underpinning correct and meaningful application of the techniques available in the package; therefore, such assumptions are discussed, and methods of assessing their validity are described. Also presented is the logic underlying the computation of the more commonly used test statistics in the area of hypothesis testing. Mathematical background is kept to a minimum.
Performing Data Analysis Using Ibm Spss
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Author : Lawrence S. Meyers
language : en
Publisher: John Wiley & Sons
Release Date : 2013-08-12
Performing Data Analysis Using Ibm Spss written by Lawrence S. Meyers and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-08-12 with Mathematics categories.
Features easy-to-follow insight and clear guidelines to perform data analysis using IBM SPSS® Performing Data Analysis Using IBM SPSS® uniquely addresses the presented statistical procedures with an example problem, detailed analysis, and the related data sets. Data entry procedures, variable naming, and step-by-step instructions for all analyses are provided in addition to IBM SPSS point-and-click methods, including details on how to view and manipulate output. Designed as a user’s guide for students and other interested readers to perform statistical data analysis with IBM SPSS, this book addresses the needs, level of sophistication, and interest in introductory statistical methodology on the part of readers in social and behavioral science, business, health-related, and education programs. Each chapter of Performing Data Analysis Using IBM SPSS covers a particular statistical procedure and offers the following: an example problem or analysis goal, together with a data set; IBM SPSS analysis with step-by-step analysis setup and accompanying screen shots; and IBM SPSS output with screen shots and narrative on how to read or interpret the results of the analysis. The book provides in-depth chapter coverage of: IBM SPSS statistical output Descriptive statistics procedures Score distribution assumption evaluations Bivariate correlation Regressing (predicting) quantitative and categorical variables Survival analysis t Test ANOVA and ANCOVA Multivariate group differences Multidimensional scaling Cluster analysis Nonparametric procedures for frequency data Performing Data Analysis Using IBM SPSS is an excellent text for upper-undergraduate and graduate-level students in courses on social, behavioral, and health sciences as well as secondary education, research design, and statistics. Also an excellent reference, the book is ideal for professionals and researchers in the social, behavioral, and health sciences; applied statisticians; and practitioners working in industry.
Doing Quantitative Research In Education With Ibm Spss Statistics
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Author : Daniel Muijs
language : en
Publisher: SAGE
Release Date : 2022-06
Doing Quantitative Research In Education With Ibm Spss Statistics written by Daniel Muijs and has been published by SAGE this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-06 with Education categories.
This essential guide for education students and researchers explains how to use quantitative methods for analysing educational data using IBM SPSS Statistics. By using datasets from real-life educational research, it demonstrates key statistical techniques that you will need to know, explaining how each procedure can by run on IBM SPSS Statistics. Datasets discussed in the book are downloadable, allowing you to hone your skills as you read. In this third edition, explanations have been updated with figures and screenshots from SPSS version 28, alongside a range of new research examples and updated further reading. Daniel Muijs is Dean of the Faculty of Education and Society at Academica University of Applied Sciences in Amsterdam.
A Concise Guide To Market Research
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Author : Marko Sarstedt
language : en
Publisher: Springer
Release Date : 2014-08-07
A Concise Guide To Market Research written by Marko Sarstedt and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-08-07 with Business & Economics categories.
This accessible, practice-oriented and compact text provides a hands-on introduction to market research. Using the market research process as a framework, it explains how to collect and describe data and presents the most important and frequently used quantitative analysis techniques, such as ANOVA, regression analysis, factor analysis and cluster analysis. The book describes the theoretical choices a market researcher has to make with regard to each technique, discusses how these are converted into actions in IBM SPSS version 22 and how to interpret the output. Each chapter concludes with a case study that illustrates the process using real-world data. A comprehensive Web appendix includes additional analysis techniques, datasets, video files and case studies. Tags in the text allow readers to quickly access Web content with their mobile device. The new edition features: Stronger emphasis on the gathering and analysis of secondary data (e.g., internet and social networking data) New material on data description (e.g., outlier detection and missing value analysis) Improved use of educational elements such as learning objectives, keywords, self-assessment tests, case studies, and much more Streamlined and simplified coverage of the data analysis techniques with more rules-of-thumb Uses IBM SPSS version 22
Medical Statistics
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Author : Jennifer Peat
language : en
Publisher: John Wiley & Sons
Release Date : 2008-04-15
Medical Statistics written by Jennifer Peat and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2008-04-15 with Medical categories.
Holistic approach to understanding medical statistics This hands-on guide is much more than a basic medical statistics introduction. It equips you with the statistical tools required for evidence-based clinical research. Each chapter provides a clear step-by-step guide to each statistical test with practical instructions on how to generate and interpret the numbers, and present the results as scientific tables or graphs. Showing you how to: analyse data with the help of data set examples (Click here to download datasets) select the correct statistics and report results for publication or presentation understand and critically appraise results reported in the literature Each statistical test is linked to the research question and the type of study design used. There are also checklists for critically appraising the literature and web links to useful internet sites. Clear and concise explanations, combined with plenty of examples and tabulated explanations are based on the authors’ popular medical statistics courses. Critical appraisal guidelines at the end of each chapter help the reader evaluate the statistical data in their particular contexts.
Secondary Data Analysis
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Author : Thomas P. Vartanian
language : en
Publisher: Oxford University Press
Release Date : 2010-10-28
Secondary Data Analysis written by Thomas P. Vartanian and has been published by Oxford University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2010-10-28 with Social Science categories.
In recent decades, social work and other social science research disciplines have become increasingly reliant on large secondary data sets, which have increased in both number and accessibility. When starting a new research project, how does one determine whether to use a secondary data set? Which of the thousands available should be used? This invaluable and expertly written guide provides an in-depth introduction to 29 of the most widely used data sets in social work, such as the Early Childhood Longitudinal Study, the National Health and Nutrition Examination Survey, and the U.S. Census. This book also examines the years covered by these cross-sectional and longitudinal data sets, the units of analysis, and the sample sizes. Readers will learn where to find the data and the key variables contained within, and how to use them in SAS and Stata. Screen shots guide researchers through data sets in a step-by-step process: how to download the data, how to merge it with other data sets, and how to program it when necessary. Each section also profiles studies that have used the respective data sets, giving researchers a clear feel for the depth and range of questions that a given data source can be used to answer, like the use of government data to explore issues ranging from pathways out of poverty to the relationship between marital dissolution and women's health and well-being. Exceptionally well calibrated and filled with real-world examples, this pocket guide will give beginning and advanced researchers a comprehensive understanding of these data sets that they can use in their research on clinical, policy, and other types studies.